Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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7,921 to 7,980 of 118,249

SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code Fragments
Xiarun Chen, Jiaxing Xu, Bozhi Wu +6
cs.SEcs.CRarXiv:2610.34431v12026
Bias-Compensated Complex-Valued Bilinear Filtering
Bernhard Plaimer, Andreas Meingassner-Lang, Yannis Kowalewski +3
eess.SParXiv:2609.37365v12026
PURIFY: a new approach to radio-interferometric imaging
Rafael E. Carrillo, Jason D. McEwen, Yves Wiaux
astro-ph.IMarXiv:1307.4370v32013
Improved Quasi-Polynomial-Time Approximation for Maximum Independent Set
Zhao Song
cs.DScs.CCarXiv:2610.35228v12026
Multivariate signal restoration via Multifold Graph Learning
Haruki Yokota, Yuichi Tanaka
eess.SParXiv:2609.36854v12026
Sparse Phase Retrieval from Short-Time Fourier Measurements
Yonina C. Eldar, Pavel Sidorenko, Dustin G. Mixon +2
cs.ITmath.ITarXiv:1411.1380v12014
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty
Lucas Janson, Edward Schmerling, Marco Pavone
cs.ROarXiv:1504.08053v22015
Operator Barron Regularity for Elliptic Equations and Application to Neural Operator Approximation
Shuhao Cao, Ruchi Guo, Daniel Zhengyu Huang +1
math.NAcs.NAarXiv:2610.37101v12026
Iterative coupling of flow, geomechanics and adaptive phase-field fracture including level-set crack width approaches
Sanghyun Lee, Thomas Wick, Mary F. Wheeler
math.NAcs.NAarXiv:1610.07120v12016
Koopman-Predictive Coefficient Tracking for Vehicle-Mounted Monostatic ISAC
Anh Tuyen Le, Xiaojing Huang, Y. Jay Guo
eess.SParXiv:2609.37327v12026
TDOA-Based Online Target Tracking with Simultaneous Sensor Pairing and Relocation
Ryosuke Ikura, Junya Hara, Hiroshi Higashi +1
eess.SParXiv:2609.36790v12026
TRACE: A Trilinear Channel Estimation Framework for Tri-Hybrid Architectures with Reconfigurable Antennas
André L. F. de Almeida, Mengzhen Liu
eess.SParXiv:2609.36646v12026
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem
André Hottung, Shunji Tanaka, Kevin Tierney
cs.AIarXiv:1709.09972v22017
QK-GCC: Learnable Query-Key Spectral Matching for Robust Time Delay Estimation
Jinkai Zhang, Weiye Chen, Yue Huang +2
eess.ASarXiv:2609.38000v12026
Acoustic Honeybee Queen-State Detection Under Unseen Conditions
Mahsa Abdollahi, Nico Coallier, Maxime Fraser Franco +1
eess.ASarXiv:2609.37845v12026
Do vision models know that three is three?
Ankit Sonthalia, Arnas Uselis, Seong Joon Oh
cs.CVarXiv:2610.35857v12026
Fed-MAPTrack: Federated Modality-aware Prompt Tuning for RGB-X Tracking
Xiangyu Liu, Yijie Shen, Yue Yin +3
cs.CVarXiv:2610.34939v12026
Realistic Characterization and Modeling of Vehicle-Mounted Antenna Radiation Patterns Based on Large-Scale Full-Vehicle Measurements
Guotian Ji, Tianhao Wang, Changhao Xi +4
eess.SParXiv:2609.36643v12026
Blendshape Generation for Models with Disconnected Parts: Adding ARKit/MediaPipe Blendshapes to Anime-Style Character Models
Pramook Khungurn
cs.CVcs.GRcs.LGarXiv:2610.35076v12026
Knowing When the Evidence Is Enough: Requirement-Directed Search with Horn-Closure Certificates
Xinyu Zhang, Weiwei Sun
cs.IRcs.AIcs.CLarXiv:2610.34684v12026
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes +8
cs.CVarXiv:1610.07442v22016
Goal-Driven Dynamics Learning via Bayesian Optimization
Somil Bansal, Roberto Calandra, Ted Xiao +2
eess.SYcs.LGcs.SYarXiv:1703.09260v22017
Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning
James Steven Supancic III, Deva Ramanan
cs.CVarXiv:1707.04991v12017
Learning Functional Causal Models with Generative Neural Networks
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou +3
stat.MLarXiv:1709.05321v32017
Agent Memory as Recommendation: Recommender-System Design for Long-Term Memory of LLM Agents
Xinyu Zhang, Weiwei Sun
cs.IRcs.AIcs.CLarXiv:2610.34673v12026
Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning
Parsa Razmara, Woojae Jeong, Aditya Kommineni +3
eess.SPcs.LGarXiv:2609.36609v12026
Ternary Visible Light Communication Using Event-Based Vision Sensors
Sotaro Kuremoto, Junya Hara, Hiroshi Higashi +1
eess.IVeess.SParXiv:2609.36905v12026
Scaling properties of extreme price fluctuations in Bitcoin markets
Stjepan Begušić, Zvonko Kostanjčar, H. Eugene Stanley +1
q-fin.STarXiv:1803.08405v12018
Cooperative Team Strategies for Multi-player Perimeter-Defense Games
Daigo Shishika, James Paulos, Vijay Kumar
eess.SYcs.SYarXiv:1912.04342v22019
Synthetic Child-Adult Interactions Are Not Developmentally Plausible
Bastian Bunzeck, Francesca Padovani
cs.CLarXiv:2610.35029v12026
AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science
Atharva Naik, Vivek Chari, Pol Llado +5
cs.AIcs.LGarXiv:2610.33245v12026
Knowledge distillation across teacher architectures for compact diabetic retinopathy grading
Mossa Manisa, Habiba Jahan Priya, A. K. M. Fakhrul Hossain
cs.LGcs.CVarXiv:2610.35961v12026
Signal-Independent and Signal-Dependent Neural Ambisonic Matrix Encoding for Arbitrary Arrays with Variable Microphone Counts
Shichao Hu, Zhiheng Jin, Chunyang Xu +1
eess.ASarXiv:2609.37691v12026
Selective Lookahead for Attention-Based Streaming ASR
Yichen Jia, Bastiaan Tamm, Hugo Van hamme
eess.ASarXiv:2609.37611v12026
Traversing the solution space of neural networks with Hessian Null Space Continuation
Ann Huang, Mitchell Ostrow, Zhouyang Lu +3
cs.LGq-bio.NCstat.MLarXiv:2609.38081v12026
SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding
Jisoo Park, Seonghak Lee, Hyojin Park +1
eess.ASarXiv:2609.37601v32026
A Reinforcement-Learning Approach to Proactive Caching in Wireless Networks
Samuel O. Somuyiwa, Andras Gyorgy, Deniz Gunduz
eess.SYcs.ITcs.NIarXiv:1712.07084v12017
EAST: Embodied AI Safety Testing via Systematic Fault Injection in Digital Twins
Yuhao Tian, Tao Li, Ling Zhou +5
cs.SEcs.ROarXiv:2610.34358v12026
Analysis of spectral clustering algorithms for community detection: the general bipartite setting
Zhixin Zhou, Arash A. Amini
math.STcs.SIstat.MLarXiv:1803.04547v22018
Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT
Ki Woong Moon, Daniel Brenner
eess.AScs.CLarXiv:2609.36754v12026
The State of the Art in Multilayer Network Visualization
Mohammad Ghoniem, Fintan Mcgee, Guy Melançon +2
cs.SIarXiv:1902.06815v12019
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
Zhennan Wan, Jianfei Chen
cs.CLcs.LGarXiv:2610.30132v12026
When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems
Rares Dimitrie Grozavescu, Mark Girolami
stat.MEmath.STstat.MLarXiv:2609.37762v12026
Detecting and Mitigating Query-Based System Prompt Leakage Attacks
Tushar Nayan, Pratik Poudel, Qian Lou +3
cs.CRcs.AIarXiv:2610.36295v12026
SpecGuard: Detecting Multi-Turn LLM Jailbreaks via Specification-Based Runtime Monitoring
Junle Li, Siqi Chen, Jiakai Li +1
cs.CRarXiv:2610.36258v12026
Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure
Ryotaro Kawata, Satoshi Hayakawa, Taiji Suzuki
cs.LGstat.MLarXiv:2609.37841v22026
Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression
Claas Flint, Micah Cearns, Nils Opel +15
q-bio.NCcs.CVeess.IVarXiv:1912.06686v22019
When Connectivity Misleads: Guiding Agentic Search with Contrastive Evidence Paths
Junchen Li, Liang Xu, Rongzheng Wang +3
cs.IRcs.AIarXiv:2610.36134v12026
SPARK: A General Goodness-of-Fit Assessment via Residual Projection
Xingwei Liu, Yuhong Yang, Wangli Xu
stat.MEmath.STstat.MLarXiv:2609.37705v12026
Layerwise Repacking: Variable-Length Hybrid-Attention Training without an Extra Redistribution Pass
Jiahao Zhang, Junwei Feng, Dongliang Huang +3
cs.LGcs.AIarXiv:2610.35989v12026
When Machine Learning Meets Congestion Control: A Survey and Comparison
Huiling Jiang, Qing Li, Yong Jiang +4
cs.NIarXiv:2010.11397v12020
A general framework for decentralized optimization with first-order methods
Ran Xin, Shi Pu, Angelia Nedić +1
cs.LGcs.MAcs.SYarXiv:2009.05837v12020
Why Adaptive Optimizers Underestimate Rare Tokens
Sangsidhya Kar
cs.LGstat.MLarXiv:2609.37535v12026
Pointwise or Pairwise: When Do Pairwise Losses Help Reward Learning, Provably?
Junghyun Lee, Minsoo Ha, Sanghwa Kim +4
cs.LGstat.MLarXiv:2609.37209v12026
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Xuewen Zhang, Yan Qin, Chau Yuen +2
cs.LGcs.AIarXiv:2101.03678v12021
Model reduction in time: Learning flow maps for reducing stochastic dynamical systems in time
Shreya Jha, Benjamin Peherstorfer
cs.LGcs.NAmath.NAarXiv:2610.35504v12026
Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian +3
cs.CVarXiv:2102.12129v12021
Interpretable intrinsic dimension estimation through componentwise calibration of distance and angle
Chih-Hsuan Huang, Chih-Wei Chen, Szu-Chi Chung
cs.LGstat.MLarXiv:2609.37114v12026
When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation
Jianyu Xu, Smriti Jha, Aarti Singh +1
cs.LGstat.MLarXiv:2609.36704v12026
Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G
Hamed Ahmadi, Avishek Nag, Zaheer Khan +2
cs.NIarXiv:2108.05781v12021

Every paper with a summary

SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code Fragments

Bias-Compensated Complex-Valued Bilinear Filtering

PURIFY: a new approach to radio-interferometric imaging

Improved Quasi-Polynomial-Time Approximation for Maximum Independent Set

Multivariate signal restoration via Multifold Graph Learning

Sparse Phase Retrieval from Short-Time Fourier Measurements

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty

Operator Barron Regularity for Elliptic Equations and Application to Neural Operator Approximation

Iterative coupling of flow, geomechanics and adaptive phase-field fracture including level-set crack width approaches

Koopman-Predictive Coefficient Tracking for Vehicle-Mounted Monostatic ISAC

TDOA-Based Online Target Tracking with Simultaneous Sensor Pairing and Relocation

TRACE: A Trilinear Channel Estimation Framework for Tri-Hybrid Architectures with Reconfigurable Antennas

Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem

QK-GCC: Learnable Query-Key Spectral Matching for Robust Time Delay Estimation

Acoustic Honeybee Queen-State Detection Under Unseen Conditions

Do vision models know that three is three?

Fed-MAPTrack: Federated Modality-aware Prompt Tuning for RGB-X Tracking

Realistic Characterization and Modeling of Vehicle-Mounted Antenna Radiation Patterns Based on Large-Scale Full-Vehicle Measurements

Blendshape Generation for Models with Disconnected Parts: Adding ARKit/MediaPipe Blendshapes to Anime-Style Character Models

Knowing When the Evidence Is Enough: Requirement-Directed Search with Horn-Closure Certificates

Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin

Goal-Driven Dynamics Learning via Bayesian Optimization

Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning

Learning Functional Causal Models with Generative Neural Networks

Agent Memory as Recommendation: Recommender-System Design for Long-Term Memory of LLM Agents

Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning

Ternary Visible Light Communication Using Event-Based Vision Sensors

Scaling properties of extreme price fluctuations in Bitcoin markets

Cooperative Team Strategies for Multi-player Perimeter-Defense Games

Synthetic Child-Adult Interactions Are Not Developmentally Plausible

AdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science

Knowledge distillation across teacher architectures for compact diabetic retinopathy grading

Signal-Independent and Signal-Dependent Neural Ambisonic Matrix Encoding for Arbitrary Arrays with Variable Microphone Counts

Selective Lookahead for Attention-Based Streaming ASR

Traversing the solution space of neural networks with Hessian Null Space Continuation

SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding

A Reinforcement-Learning Approach to Proactive Caching in Wireless Networks

EAST: Embodied AI Safety Testing via Systematic Fault Injection in Digital Twins

Analysis of spectral clustering algorithms for community detection: the general bipartite setting

Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT

The State of the Art in Multilayer Network Visualization

LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data

When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems

Detecting and Mitigating Query-Based System Prompt Leakage Attacks

SpecGuard: Detecting Multi-Turn LLM Jailbreaks via Specification-Based Runtime Monitoring

Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure

Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression

When Connectivity Misleads: Guiding Agentic Search with Contrastive Evidence Paths

SPARK: A General Goodness-of-Fit Assessment via Residual Projection

Layerwise Repacking: Variable-Length Hybrid-Attention Training without an Extra Redistribution Pass

When Machine Learning Meets Congestion Control: A Survey and Comparison

A general framework for decentralized optimization with first-order methods

Why Adaptive Optimizers Underestimate Rare Tokens

Pointwise or Pairwise: When Do Pairwise Losses Help Reward Learning, Provably?

Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation

Model reduction in time: Learning flow maps for reducing stochastic dynamical systems in time

Self-Domain Adaptation for Face Anti-Spoofing

Interpretable intrinsic dimension estimation through componentwise calibration of distance and angle

When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation

Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G